Online Submissions Now Being Accepted for the Esri Map Book, Volume 28

Online submissions are now being accepted for the Esri Map Book, Volume 28. If you have an ArcGIS map you would like to be considered for publication, please visit the Map Book online submission site at http://www.esri.com/apps/mapbook. There you will find contact and permission forms plus details about how to submit image files.

The submission deadline is Friday, November 16, 2012,at 5:00 p.m. (PST).  If your map is chosen, you will receive a notification by e-mail. The Esri Map Book, Volume 28 will be released in July 2013 at the Esri International User Conference.

Modeling Experimental Cross-transiograms of Neighboring Landscape Categories with the Gamma Distribution

International Journal of Geographical Information ScienceInternational Journal of Geographical Information Science, Volume 26, Issue 4, 2012

Weidong Li, Chuanrong Zhang & Dipak K. Dey

“Effectively fitting the major features of experimental transiograms (or variograms) is crucial in characterizing spatial patterns and reproducing them in geostatistical simulations. Landscape patterns usually tend to contain neighboring structures. The experimental cross-transiograms of frequent neighboring landscape categories normally demonstrate apparent peaking features at low lag distances – they first quickly increase to a peak and then gradually flatten out. The flattening process may be smooth or may be through one or more alternate attenuating troughs and peaks. While alternate peaks and troughs may be a reflection of the cyclic occurrence of landscape categories, the single peak or the first peak at low lag section should be a signal of the neighboring structure of two related categories. This is further proved by the peaking features of some idealized transiograms calculated from single-step transition probability matrices. To effectively fit the first peak, especially when it is the single one, we propose using the gamma distribution function and the commonly used variogram models to form additive composite models. Cases of fitting experimental cross-transiograms of landscape data (here soil types and land cover classes) show that the additive gamma-exponential composite model works very well and may closely fit the single-peak features. Although it has multiple parameters to set, model fitting can be performed manually by trial and error. Other two composite models may provide alternatives for fine fitting of the root section (i.e., the left side of the peak). These models may also be applicable to fitting experimental variograms with similar features. We also reintroduce the multiplicative composite hole-effect models proposed for variogram modeling by earlier researchers, and test them on experimental cross-transiograms. It is found that composite hole-effect models are not sufficiently flexible to effectively fit the peak shapes of experimental cross-transiograms of neighboring categories, unless multiple peaks and troughs appear in regular shapes and rhythms.”

Spatial Analysis of Bioavailable Soil Lead Concentrations in Los Angeles, California

Environmental ResearchEnvironmental Research, May 2010, 110 (4)

Wu J, Edwards R, He XE, Liu Z, and Kleinman M

“Lead (Pb) poisoning causes permanent neurologic and developmental disorders and remains an important environmental health problem for US children, despite removal of Pb from gasoline and household paints. To better understand the contribution of Pb from historical traffic and residential Pb based paint to soil Pb concentrations in Los Angeles, we analyzed 550 soil Pb samples from south central Los Angeles County, CA, in relation to land-use patterns (commercial, industrial, residential, and parks and open areas) and proximity to freeways, highways, and major arterials. House age variables (surrogates of historical Pb-based paint) and traffic index variables (surrogates of historical traffic) were created at different buffer distances (10-5000m). Total and bioavailable Pb concentrations near freeways and major arterials were significantly higher than those collected elsewhere. Total and bioavailable Pb concentrations were highly correlated (r=0.96) after the removal of one outlier. Both parcel-age related variables and traffic variables were important predictors of current soil bioavailable Pb concentrations. Average age of parcels within 30m and length of small streets within 3000m explained 57% and 38% of the variance, respectively, in soil bioavailable Pb concentrations in residential areas away from freeways and major arterials (N=44). Road length of freeways within 750m explained 28% of bioavailable Pb concentrations in parks and open areas (N=26). Multi-variable regression models predicted 16-61% of the variances in bioavailable Pb concentrations, depending on land-use type and spatial relationship to roadways. Based on these models a map of spatial distributions of soil Pb concentrations was created for the Los Angeles area that shows promise as a screening tool to evaluate continued Pb poisoning in children.”

The Politics of New Media, Space, and Race: A Socio-spatial Analysis of the 2008 Presidential Election

New Media & Society New Media & Society, 23 August 2012

Michael J. Stern and Bryan D. Rookey

“Recent national, regional, and community-level research has shown that the Internet has the potential to provide a powerful medium for political engagement. Yet, systematic analyses that consider space and place as critical components of this area of research are lacking. This issue is important inasmuch as the extant literature has clearly shown that the diffusion of sophisticated Internet technology to some places has been slow and that the use of high-speed broadband modems has a significant impact on using the technology for social and economic purposes. The data for this study come from the nationally representative Pew Internet and American Life Study conducted in November 2008 directly after the United States presidential election. Although the results are consistent with previous research on both spatial and digital inequality in terms of Internet use, the interactions between race and place suggest that it is not just that the Obama campaign used new media to mobilize constituents, but that these efforts were realized in a particular region of the country and were particularly influential in given segments of the population. Implications for future research and the value of digital capital are discussed.”

Functional Composition of Sensor Web APIs

To be published in 2012 in Proceedings of the 5th International Workshop on Semantic Sensor Networks

Ruben Verborgh, Vincent Haerinck, Thomas Steiner, Davy Van Deursen, Sofie Van Hoecke, Jos De Roo, Rik Van de Walle, and Joaquim Gabarró Vallés

“Web APIs are becoming an increasingly popular alternative to the more heavy-weight Web services. Recently, they also have been used in the context of sensor networks. However, making different Web APIs (and thus sensors) cooperate often requires a significant amount of manual configuration. Ideally, we want Web APIs to behave like Linked Data, where data from different sources can be combined in a straightforward way. Therefore, in this paper, we show how Web APIs, semantically described by the light-weight format RESTdesc, can be composed automatically based on their functionality. Moreover, the composition process does not require specific tools, as compositions are created by generic Semantic Web reasoners as part of a proof. We then indicate how the composition in this proof can be executed. We describe our architecture and implementation, and validate that proof-based composition is a feasible strategy on a Web scale. Our measurements indicate that current reasoners can integrate compositions of more than 200 Web APIs in under one second. This makes proof-based composition a practical choice for today’s Web APIs.”

Crying Wolf? A Spatial Analysis of Wolf Location and Depredations on Calf Weight

Canadian Resource and Environmental Economics (CREE) Annual Conference, Vancouver, 28-30 September 2012

Joseph P. Ramler, Mark Hebblewhite, Derek Kellenberg, and Carolyn Sime

“Using a novel panel dataset of 18 Montana ranches from 1995-2010 and combining it with spatial data on known wolf pack locations and satellite generated climatological data, we estimate the spatial impact of changing wolf pack locations and confirmed wolf depredations on the weight of beef calves. We find no evidence that wolf packs with home ranges that overlap ranches have any detrimental effects on calf weights. However, ranches that experienced a confirmed cattle depredation by wolves had a negative and statistically significant impact on calf weight across their herd, possibly due to inefficient foraging behavior or stress to mother cows. The costs of these indirect weight losses are shown to potentially be greater than the costs of direct depredation losses which have, in the past, been the only form of compensation for ranchers who have suffered wolf depredations.”

Spatio-Temporal Analysis of Migration in Delhi: 1961-2001

Social Science Research NetworkSocial Science Research Network, 28 May 2012

Aparna Sengupta

“The aim of the study is to do a spatio-temporal study of migration in Delhi. Studies done in relation to a spatio-temporal context helps in disseminating information about the area under observation with respect to two variables: space and time. Spatial in literal sense refers to space and a spatial study connotes the distribution of any phenomena over a defined space or area. No phenomena is evenly distributed over the earth surface and there exists wide variations, migration also is not evenly distributed over entire Delhi, here comes the need for a spatial study to see the distribution pattern of migrants into Delhi and which district of Delhi is attracting huge number of migrants and the reasons associated with it. On the other hand temporal means ‘time’ which is an important parameter to study any phenomena and its growth over space. The time factor will help in analyzing the amount and the magnitude of migrants coming to Delhi from to time since 1961-2001.”